Triple

T11984175
Position Surface form Disambiguated ID Type / Status
Subject Edward Bloom E285234 entity
Predicate spouse P13 FINISHED
Object Sandra Bloom E519727 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sandra Bloom | Statement: [Edward Bloom, spouse, Sandra Bloom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandra Bloom
Context triple: [Edward Bloom, spouse, Sandra Bloom]
  • A. Sandra Bloom chosen
    Sandra Bloom is a central character in the film "Big Fish," portrayed as the loving and steadfast wife of Edward Bloom and mother of their son, William.
  • B. Sandra Adair
    Sandra Adair is an American film editor best known for her long-time collaboration with director Richard Linklater on films such as "Boyhood" and the "Before" trilogy.
  • C. Sandra Newman
    Sandra Newman is an American novelist and writer known for her inventive, genre-blending fiction and works such as "The Country of Ice Cream Star" and "The Men."
  • D. Sandra Jolley
    Sandra Jolley was the wife of American businessman and quality management expert Philip Crosby.
  • E. Sandra Jennings
    Sandra Jennings is an American woman best known for her long-term relationship and legal disputes with actor William Hurt.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903973c848190aac871d6dfecc74b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9db383cc8190b1c65d202785838a completed May 9, 2026, 2:36 a.m.
Created at: April 8, 2026, 9:46 p.m.